Senior Data Engineer Big Data
London, United Kingdom
Applications have closed
Publicis Groupe
Company Description
Publicis Sapient, the digital business transformation hub of Publicis Groupe, helps clients drive growth and efficiency and evolve the ways they work, in a world where consumer behavior and technology are catalyzing social and commercial changes at an unprecedented pace. With 17,000 people and over 100 offices around the globe, our expertise spanning technology, data sciences, consulting and creative, combined with our culture of innovation, enables us to deliver on complex transformation initiatives that accelerate our clients’ businesses through creating the products and services their customers expect.
Job Description
As a Senior Associate with our Data Engineering group, you will be responsible for the design and implementation of high-end software products/services that enable the enterprise-scale digital transformation of many of the biggest companies in the world.
Your role will be focused on delivering solutions that leverage large-scale data ingestion, processing, storage/querying, and in-stream & batch analytics. As part of a team, you will deliver world-class solutions designed by our senior architects by estimating, designing, coding, testing, deploying, and ensuring scalability and performance using the latest frameworks and platforms
You will also be involved in building technology prototypes for validation and assessing technical designs for functional & non-functional completeness.
As a hands-on technologist with an extensive programming background, you will be excited to join a super talented and supportive community of Data Engineers who are passionate about building the best possible solutions for our clients and endorse a culture of lifelong learning and collaboration.
Qualifications
- Expertise with Java (preferable) or Scala programming languages
- Strong experience with Data related technologies, including Big Data and data-related Cloud services (AWS / Azure / GCP)
- Good hands-on experience in at least one distributed data processing framework e.g. Spark (Core, Streaming, SQL), Storm, Flink, etc
- Good data modeling experience to address scale and read/write performance
- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQL DW, GCP BigQuery, etc.
- Working knowledge of data platform-related services on at least 1 Cloud platform to cover IAM and data security
- Hands-on skills - building DevOps pipelines for data solutions, automated testing
You’ll Also Likely Have Some of The Following
- Sound awareness of the larger data technology ecosystem including Hadoop, open-source frameworks as well as cloud services across batch and stream processing
- Experience in tuning and optimizing big data solutions
- Experience in data security (at-rest/in-transit)
- Knowledge of distributed messaging frameworks like ActiveMQ / RabbitMQ / Solace/ Kafka, search & indexing, and Microservices architectures
- Exposure to data governance, catalog, lineage, and associated tools
- Certification in one or more cloud platforms or big data technologies
- Demonstrated participation in the Data Engineering thought community (e.g. blogs, keynote sessions, POV/POC, hackathons)
Additional Information
There is a superb package of benefits waiting for you at Publicis Sapient.
We cover all the basics generously, with 25 days of paid annual leave, life assurance, dental insurance, income protection, private healthcare for you AND your family (pre-existing conditions included), and a pension.
The learning opportunities here are endless. Most importantly, of course, there’s the chance to be part of a game-changing organization that celebrates creative thinking and empowerment. The creature comforts are super: free barista coffee bar (the best in town), gym-fee reimbursement, and working in the most exciting, colourful and diverse local area you could imagine.
Flexibility and mobility are needed for this role. You might need to spend time on-site with our clients to deliver our world-class services.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data BigQuery Cassandra Consulting Data governance DevOps Engineering Flink GCP Hadoop HBase Kafka Microservices MongoDB MPP NoSQL Pipelines RabbitMQ Redshift Scala Security Spark SQL Streaming Testing
Perks/benefits: Career development Fitness / gym Startup environment
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